Principal Research Sci-Machine Learn

Lilly is a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values-excellence, integrity, and respect for people-that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being -through competitive pay, comprehensive employee benefit programs, and training and development resources.

We're doing extraordinary things. Join us and you could be, too!

Responsibilities
How would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring YOUR skills and talents to Lilly and our Advanced Analytics and Data Sciences organization where you'll have the opportunity to make an impact on the lives of patients.

As an innovation driven company, we work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

Our Advanced Analytics and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. WE are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings. Come join us on our amazing journey to make life better!

Key responsibilities include:

• Partner with key business partners and work within team to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value
• Maintain a broad understanding of question and be fully engaged with teams, bringing an objective voice to the table, and facilitating decisions grounded in data
• Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work
• Stay current with respect to machine learning/statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected

41935BR

Basic Qualifications

• Ph.D. in Statistics, Computer Science, Biostatistics, Operations Research or quantitative related field with at least 5 years working experience OR Master in Computer Science/Computer Engineering with at least 10 years related working experience.

Additional Skills/Preferences

• Have relevant experience of data analysis methods.
• Have training or working experience on optimization algorithms, such as nonlinear optimizations.
• Have training or working experience on productive oriented programming languages such as Python/R, and also low-level language such as C/C++.
• Good communication skills with can-do mindset.
• Have research experience in constraint convex optimization. Knowledgeable on non-convex optimization, mixed integer programming.
• Have research experience in reinforcement learning, deep learning, and knowledgeable in general machine learning algorithms.
• Have good understanding on objective oriented programming, proficient in C++, and knowledgeable in advanced C++11 features.
• Knowledgeable in software design, such as familiar with design patterns.
• Make the impossible possible in your quest to make life better.
• Bring Analytics to life by giving it zeal and making it applicable to our business.
• Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.

Additional Information

• Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.